/FinancialDataExtraction

Financial Data Extraction and Classification Problem

Primary LanguageJupyter Notebook

Financial Data Extraction Problem

Background

Development of Canoe’s proprietary technology began in 2013 by a group of sophisticated investors focused on alternative and illiquid strategies. They realized that it was difficult, costly and time consuming to manually track all our own investments, so they decided to automate it.

Deliverables

A model or a set of models that extracts key information from given documents.

Business use case

Firms are inundated with data from hundreds of sponsors, all delivered disparately in unstructured formats. The technology will help to deliver accurate data automatically extracted from different types of documents and reduce errors and latency associated with manual data entry.